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Items: 1 to 20 of 115

1.

L2-Boosting algorithm applied to high-dimensional problems in genomic selection.

González-Recio O, Weigel KA, Gianola D, Naya H, Rosa GJ.

Genet Res (Camb). 2010 Jun;92(3):227-37. doi: 10.1017/S0016672310000261.

PMID:
20667166
2.

The gradient boosting algorithm and random boosting for genome-assisted evaluation in large data sets.

González-Recio O, Jiménez-Montero JA, Alenda R.

J Dairy Sci. 2013 Jan;96(1):614-24. doi: 10.3168/jds.2012-5630. Epub 2012 Oct 24.

3.

Comparison of methods for the implementation of genome-assisted evaluation of Spanish dairy cattle.

Jiménez-Montero JA, González-Recio O, Alenda R.

J Dairy Sci. 2013 Jan;96(1):625-34. doi: 10.3168/jds.2012-5631. Epub 2012 Oct 24.

4.

Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.

Weigel KA, de Los Campos G, Vazquez AI, Rosa GJ, Gianola D, Van Tassell CP.

J Dairy Sci. 2010 Nov;93(11):5423-35. doi: 10.3168/jds.2010-3149.

5.

LASSO with cross-validation for genomic selection.

Usai MG, Goddard ME, Hayes BJ.

Genet Res (Camb). 2009 Dec;91(6):427-36. doi: 10.1017/S0016672309990334.

PMID:
20122298
6.

Assets of imputation to ultra-high density for productive and functional traits.

Jiménez-Montero JA, Gianola D, Weigel K, Alenda R, González-Recio O.

J Dairy Sci. 2013 Sep;96(9):6047-58. doi: 10.3168/jds.2013-6793. Epub 2013 Jun 28.

7.

Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers.

Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S.

J Anim Breed Genet. 2007 Dec;124(6):377-89.

PMID:
18076475
8.

A simple method for genomic selection of moderately sized dairy cattle populations.

Weller JI, Ron M, Glick G, Shirak A, Zeron Y, Ezra E.

Animal. 2012 Feb;6(2):193-202. doi: 10.1017/S1751731111001704.

PMID:
22436176
9.

Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.

Colombani C, Legarra A, Fritz S, Guillaume F, Croiseau P, Ducrocq V, Robert-Granié C.

J Dairy Sci. 2013 Jan;96(1):575-91. doi: 10.3168/jds.2011-5225. Epub 2012 Nov 3.

10.

A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.

Moser G, Tier B, Crump RE, Khatkar MS, Raadsma HW.

Genet Sel Evol. 2009 Dec 31;41:56. doi: 10.1186/1297-9686-41-56.

11.

Prediction of breed composition in an admixed cattle population.

Frkonja A, Gredler B, Schnyder U, Curik I, Sölkner J.

Anim Genet. 2012 Dec;43(6):696-703. doi: 10.1111/j.1365-2052.2012.02345.x. Epub 2012 Mar 23.

PMID:
23061480
12.

Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers.

Weigel KA, de los Campos G, González-Recio O, Naya H, Wu XL, Long N, Rosa GJ, Gianola D.

J Dairy Sci. 2009 Oct;92(10):5248-57. doi: 10.3168/jds.2009-2092.

13.

Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.

González-Recio O, Gianola D, Rosa GJ, Weigel KA, Kranis A.

Genet Sel Evol. 2009 Jan 5;41:3. doi: 10.1186/1297-9686-41-3.

14.
15.

Fine tuning genomic evaluations in dairy cattle through SNP pre-selection with the Elastic-Net algorithm.

Croiseau P, Legarra A, Guillaume F, Fritz S, Baur A, Colombani C, Robert-Granié C, Boichard D, Ducrocq V.

Genet Res (Camb). 2011 Dec;93(6):409-17. doi: 10.1017/S0016672311000358.

PMID:
22189606
16.

Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.

Ehret A, Hochstuhl D, Gianola D, Thaller G.

Genet Sel Evol. 2015 Mar 31;47:22. doi: 10.1186/s12711-015-0097-5.

17.

Predictive ability of selected subsets of single nucleotide polymorphisms (SNPs) in a moderately sized dairy cattle population.

Weller JI, Glick G, Shirak A, Ezra E, Seroussi E, Shemesh M, Zeron Y, Ron M.

Animal. 2014 Feb;8(2):208-16. doi: 10.1017/S1751731113002188.

PMID:
24433958
18.

Selection of single-nucleotide polymorphisms and quality of genotypes used in genomic evaluation of dairy cattle in the United States and Canada.

Wiggans GR, Sonstegard TS, VanRaden PM, Matukumalli LK, Schnabel RD, Taylor JF, Schenkel FS, Van Tassell CP.

J Dairy Sci. 2009 Jul;92(7):3431-6. doi: 10.3168/jds.2008-1758.

19.

Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle.

Larkin DM, Daetwyler HD, Hernandez AG, Wright CL, Hetrick LA, Boucek L, Bachman SL, Band MR, Akraiko TV, Cohen-Zinder M, Thimmapuram J, Macleod IM, Harkins TT, McCague JE, Goddard ME, Hayes BJ, Lewin HA.

Proc Natl Acad Sci U S A. 2012 May 15;109(20):7693-8. doi: 10.1073/pnas.1114546109. Epub 2012 Apr 23.

20.

Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations.

Saatchi M, Ward J, Garrick DJ.

J Anim Sci. 2013 Apr;91(4):1538-51. doi: 10.2527/jas.2012-5593. Epub 2013 Jan 23.

PMID:
23345550

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